Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1029452 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Microbial physiology plays a pivotal role in construction of a superior microbial cell factory for efficient production of desired products. Here we identified pcnB repression through genome-scale CRISPRi modulation combining fluorescence-activated cell sorting (FACS) and next-generation sequencing (NGS), which confers improved physiology for free fatty acids (FFAs) overproduction in Escherichia coli. The repression of pcnB could improve the stability and abundance of the transcripts involved in proton-consuming system, conferring a global improvement on cell membrane, redox state, and energy level. These physiological advantages facilitated further identification of acrD repression enhancing FFAs efflux. The engineered strain pcnBi-acrDi-fadR+ achieved 35.1 g l−1 FFAs production in fed-batch fermentation, which is the maximum titer in E. coli reported to date. This study underscores the significance of hidden genetic determinants in microbial biosynthesis and sheds light on the role of microbial physiologies in boosting microbial biosynthesis.
2024-05-21 | GSE267710 | GEO
Project description:Microbial physiology plays a pivotal role in construction of a superior microbial cell factory for efficient production of desired products. Here we identified pcnB repression through genome-scale CRISPRi modulation combining fluorescence-activated cell sorting (FACS) and next-generation sequencing (NGS), which confers improved physiology for free fatty acids (FFAs) overproduction in Escherichia coli. The repression of pcnB could improve the stability and abundance of the transcripts involved in proton-consuming system, conferring a global improvement on cell membrane, redox state, and energy level. These physiological advantages facilitated further identification of acrD repression enhancing FFAs efflux. The engineered strain pcnBi-acrDi-fadR+ achieved 35.1 g l−1 FFAs production in fed-batch fermentation, which is the maximum titer in E. coli reported to date. This study underscores the significance of hidden genetic determinants in microbial biosynthesis and sheds light on the role of microbial physiologies in boosting microbial biosynthesis.
2024-05-26 | GSE267827 | GEO
Project description:Anaerobic digestion is a popular and effective microbial process for waste treatment. The performance of anaerobic digestion processes is contingent on the balance of the microbial food web in utilizing various substrates. Recently, co-digestion, i.e., supplementing the primary substrate with an organic-rich co-substrate has been exploited to improve waste treatment efficiency. Yet the potential effects of elevated organic loading on microbial functional gene community remains elusive. In this study, functional gene array (GeoChip 5.0) was used to assess the response of microbial community to the addition of poultry waste in anaerobic digesters treating dairy manure. Consistent with 16S rRNA gene sequences data, GeoChip data showed that microbial community compositions were significantly shifted in favor of copiotrophic populations by co-digestion, as taxa with higher rRNA gene copy number such as Bacilli were enriched. The acetoclastic methanogen Methanosarcina was also enriched, while Methanosaeta was unaltered but more abundant than Methanosarcina throughout the study period. The microbial functional diversity involved in anaerobic digestion were also increased under co-digestion.
2017-01-12 | GSE93419 | GEO
Project description:Geobacter sulfurreducens is a dissimilatory metal-reducing bacterium capable of forming thick electron-conducting biofilms on solid electrodes in the absence of alternative electron acceptors. The remarkable ability of such biofilms to transfer electrons, liberated from soluble organic electron donors, over long distances has attracted scientific interest as to the mechanism for this process, and technological interest for application to microbial fuel and electrolysis cells and sensors. Here, we employ comparative proteomics to identify key metabolic pathways involved in G. sulfurreducens respiration by planktonic cells versus electron-conducting biofilms, in an effort to elucidate long-range electron transfer mechanisms.
2018-02-16 | PXD002667 | Pride
Project description:<p>The impact of ammonia on anaerobic digestion performance and microbial dynamics has been extensively studied, but the concurrent effect of anions brought by ammonium salt should not be neglected. This paper studied this effect using metabolomics and a time-course statistical framework. Metabolomics provides novel perspectives to study microbial processes and facilitates a more profound understanding at the metabolic level. The advanced statistical framework enables deciphering the complexity of large metabolomics data sets. More specifically, a series of lab-scale batch reactors were set up with different ammonia sources added. Samples of 9 time points over the degradation were analyzed with liquid chromatography-mass spectrometry. A filtering procedure was applied to select the promising metabolomic peaks from 1262 peaks, followed by modeling their intensities across time. The metabolomic peaks with similar time profiles were clustered, evidencing the correlation of different biological processes. Differential analysis was performed to seek the differences in metabolite dynamics caused by different anions. Finally, tandem mass spectrometry and metabolite annotation provided further information on the molecular structure and possible metabolic pathways. For example, the consumption of 5-aminovaleric acid, a short-chain fatty acid obtained from l-lysine degradation, was slowed down by phosphates. Overall, by investigating the effect of anions on anaerobic digestion, our study demonstrated the effectiveness of metabolomics in providing detailed information in a set of samples from different experimental conditions. With the statistical framework, the approach enables capturing subtle differences in metabolite dynamics between samples while accounting for the differences caused by time variations.</p>
2024-03-01 | MTBLS7859 | MetaboLights
Project description:Construction of Parallel analysis of RNA ends (PARE) libraries was done as described by German et al., 2009. Raw reads consisting of short sequences of 16 to 21 nts after MmeI digestion.
2018-03-01 | GSE110939 | GEO